Network-based analysis of genome wide association data provides novel candidate genes for lipid and lipoprotein traits

Molecular and Cellular Proteomics

Volumn 12, Issue 11, 2013, Pages 3398-3408

  Sharma, Amitabh ^a,b,c   Gulbahce, Natali ^b,c,e   Pevzner, Samuel J ^g,h   Menche, Jörg ^b,c   Ladenvall, Claes ^a   Folkersen, Lasse ^f   Eriksson, Per ^f   Orho Melander, Marju ^a   Barabási, Albert László ^b,c,d  

^a LUND UNIVERSITY   (Sweden)

^b NORTHEASTERN UNIVERSITY   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f KAROLINSKA INSTITUTE   (Sweden)

^g Boston University   (United States)

^h BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHOLESTEROL; CYSTATHIONINE BETA SYNTHASE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ADULT; ALLELE; ARTICLE; CHOLESTEROL BLOOD LEVEL; EFFECT SIZE; FEMALE; GENE IDENTIFICATION; GENETIC ASSOCIATION; GENETIC TRAIT; GENOMICS; GENOTYPE; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MALE; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM; TRIACYLGLYCEROL BLOOD LEVEL;

CARDIOVASCULAR DISEASES; CYSTATHIONINE BETA-SYNTHASE; GENE REGULATORY NETWORKS; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LIPID METABOLISM; LIPIDS; LIPOPROTEINS; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEOMICS; RISK FACTORS;

EID: 84886753395     PISSN: 15359476     EISSN: 15359484     Source Type: Journal    
DOI: 10.1074/mcp.M112.024851     Document Type: Article

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